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2019
1 Citation (Scopus)

AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 92-99 8 p. 8622130. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
Labels
Landing
Scalability
Classifiers
1 Citation (Scopus)

Adaptive Bayesian Radio Tomography

Lee, D., Berberidis, D. & Giannakis, G. B., Apr 15 2019, In : IEEE Transactions on Signal Processing. 67, 8, p. 1964-1977 14 p., 8662745.

Research output: Contribution to journalArticle

Tomography
Imaging techniques
Radio interference
Disasters
Markov processes

Adaptive diffusions for scalable learning over graphs

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1307-1321 15 p., 8590776.

Research output: Contribution to journalArticle

Labels
Classifiers
Landing
Scalability
Topology

A Recurrent Graph Neural Network for Multi-relational Data

Ioannidis, V. N., Marques, A. G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8157-8161 5 p. 8682836. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Neural networks
Supervised learning
Network architecture

A Variational Bayes Approach to Adaptive Channel-gain Cartography

Lee, D. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8434-8438 5 p. 8683300. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sensors
Transceivers
Tomography
2 Citations (Scopus)

Bandit Convex Optimization for Scalable and Dynamic IoT Management

Chen, T. & Giannakis, G. B., Feb 1 2019, In : IEEE Internet of Things Journal. 6, 1, p. 1276-1286 11 p., 8362620.

Research output: Contribution to journalArticle

Convex optimization
Fog
Feedback
Internet of things
Decision making

Distributed Network Caching via Dynamic Programming

Sadeghi, A., Marques, A. G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4574-4578 5 p. 8682210. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dynamic programming
Base stations
Next generation networks
Global optimization
Telecommunication networks
5 Citations (Scopus)

Distribution system state estimation: an overview of recent developments

Wang, G., Giannakis, G. B., Chen, J. & Sun, J., Jan 1 2019, In : Frontiers of Information Technology and Electronic Engineering. 20, 1, p. 4-17 14 p.

Research output: Contribution to journalReview article

State estimation
Smart meters
Nonlinear systems
Electric potential

Distribution System State Estimation Via Data-Driven and Physics-Aware Deep Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., Jun 1 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 258-262 5 p. 8755581. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

State estimation
Physics
Recurrent neural networks
Electric vehicles
Time measurement

Efficient proximal gradient algorithm for inference of differential gene networks

Wang, C., Gao, F., Giannakis, G. B., D'Urso, G. & Cai, X., May 2 2019, In : BMC bioinformatics. 20, 1, 224.

Research output: Contribution to journalArticle

Open Access
Proximal Algorithm
Gene Networks
Gene Regulatory Networks
Gradient Algorithm
Genes

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks

Sheikholeslami, F., Jain, S. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3277-3281 5 p. 8683348. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sampling
Neural networks

Fast asynchronous decentralized optimization: Allowing multiple masters

Ma, M., Ren, J., Giannakis, G. B. & Haup, J., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 633-637 5 p. 8646514. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tuning
Topology
Communication

Graph-aware Weighted Hybrid ADMM for Fast Decentralized Optimization

Ma, M. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1881-1885 5 p. 8645558. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tuning
Topology
Communication

Graph multiview canonical correlation analysis

Chen, J., Wang, G. & Giannakis, G. B., Jun 1 2019, In : IEEE Transactions on Signal Processing. 67, 11, p. 2826-2838 13 p., 8686218.

Research output: Contribution to journalArticle

Decomposition
Geometry

Imputation of coupled tensors and GRAPHS

Ioannidis, V. N., Zamzam, A. S., Giannakis, G. B. & Sidiropoulos, N., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1331-1335 5 p. 8646576. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
Tensors
Computational complexity
1 Citation (Scopus)

Learning and Management for Internet of Things: Accounting for Adaptivity and Scalability

Chen, T., Barbarossa, S., Wang, X., Giannakis, G. B. & Zhang, Z-L., Apr 1 2019, In : Proceedings of the IEEE. 107, 4, p. 778-796 19 p., 8648462.

Research output: Contribution to journalArticle

Scalability
Innovation
Fog
Network architecture
Internet of things
4 Citations (Scopus)

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Wang, G., Giannakis, G. B. & Chen, J., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2357-2370 14 p., 8671751.

Research output: Contribution to journalArticle

Hinges
Chemical activation
Neural networks
1 Citation (Scopus)

Multiview Canonical Correlation Analysis over Graphs

Chen, J., Wang, G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2947-2951 5 p. 8683096. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bearings (structural)
Geometry
2 Citations (Scopus)

Nonlinear dimensionality reduction for discriminative analytics of multiple datasets

Chen, J., Wang, G. & Giannakis, G. B., Feb 1 2019, In : IEEE Transactions on Signal Processing. 67, 3, p. 740-752 13 p., 8565879.

Research output: Contribution to journalArticle

Principal component analysis
Feature extraction
Decomposition

Nonlinear Discriminative Dimensionality Reduction of Multiple Datasets

Chen, J., Wang, G. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 1993-1997 5 p. 8645467. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Principal component analysis
Learning systems
Signal processing
Decomposition
Experiments
1 Citation (Scopus)

Online Graph-Adaptive Learning with Scalability and Privacy

Shen, Y., Leus, G. & Giannakis, G. B., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2471-2483 13 p., 8666759.

Research output: Contribution to journalArticle

Scalability
Set theory
Joining
Large scale systems
Experiments
1 Citation (Scopus)

Power System State Forecasting via Deep Recurrent Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8092-8096 5 p. 8683139. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recurrent neural networks
Electric power system measurement
Feedforward neural networks
Observability
Time series
1 Citation (Scopus)

Real-time energy management in microgrids with reduced battery capacity requirements

Li, B., Chen, T., Wang, X. & Giannakis, G. B., Mar 1 2019, In : IEEE Transactions on Smart Grid. 10, 2, p. 1928-1938 11 p., 8214260.

Research output: Contribution to journalArticle

Energy management
Energy storage
Renewable energy resources
Costs
Industry

Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks

Zhang, L., Wang, G. & Giannakis, G. B., Aug 1 2019, In : IEEE Transactions on Signal Processing. 67, 15, p. 4069-4077 9 p., 8754766.

Research output: Contribution to journalArticle

State estimation
Recurrent neural networks
Electric power system measurement
Electric potential
Electric vehicles
3 Citations (Scopus)

Real-time power system state estimation via deep unrolled neural networks

Zhang, L., Wang, G. & Giannakis, G. B., Feb 20 2019, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 907-911 5 p. 8646629. (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

State estimation
Smart power grids
Electric potential
Electric vehicles
Physics

Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing

Sadeghi, A., Sheikholeslami, F., Marques, A. G. & Giannakis, G. B., Jan 1 2019, In : IEEE Journal on Selected Areas in Communications.

Research output: Contribution to journalArticle

Reinforcement learning
Costs
Network performance
Dynamic programming
Base stations

Secure Edge Computing in IoT via Online Learning

Li, B., Chen, T., Wang, X. & Giannakis, G. B., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 2149-2153 5 p. 8645223. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jamming
Servers
Power spectrum
Power transmission
Internet of things
1 Citation (Scopus)

Semi-Blind inference of topologies and dynamical processes over dynamic graphs

Ioannidis, V. N., Shen, Y. & Giannakis, G. B., May 1 2019, In : IEEE Transactions on Signal Processing. 67, 9, p. 2263-2274 12 p., 8662630.

Research output: Contribution to journalArticle

Topology
Directed graphs
Set theory
Computational complexity

Semi-Supervised Tracking of Dynamic Processes over Switching Graphs

Lu, Q., Ioannidis, V. N. & Giannakis, G. B., Jun 1 2019, 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 64-68 5 p. 8755553. (2019 IEEE Data Science Workshop, DSW 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Brain
Switches

Signal and Graph Perturbations via Total Least-Squares

Ceci, E., Shen, Y., Giannakis, G. B. & Barbarossa, S., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 747-751 5 p. 8645485. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Outages
2018
1 Citation (Scopus)

Active sampling for graph-aware classification

Berberidis, D. & Giannakis, G. B., Mar 7 2018, 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 648-652 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Sampling
1 Citation (Scopus)

Adaptive Bayesian Channel Gain Cartography

Lee, D., Berberidis, D. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3554-3558 5 p. 8461412. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Transceivers
Markov processes
Sampling
Sensors
Uncertainty
9 Downloads (Pure)

Adaptive Diffusions for Scalable Learning over Graphs (MLG@KDD18)

Berberidis, D., Nikolakopoulos, A. & Giannakis, G. B., Aug 20 2018, Mining and Learning with Graphs Workshop @ ACM KDD 2018. p. 1 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Labels
Landing
Scalability
Classifiers
Topology

Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks

Chen, T., Li, N. & Giannakis, G. B., Aug 9 2018, 2018 Annual American Control Conference, ACC 2018. Institute of Electrical and Electronics Engineers Inc., p. 4604-4609 6 p. 8431445. (Proceedings of the American Control Conference; vol. 2018-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy resources
Electric power distribution
Agglomeration
Trajectories
Communication
3 Citations (Scopus)

Blind Multiclass Ensemble Classification

Traganitis, P. A., Pages-Zamora, A. & Giannakis, G. B., Sep 15 2018, In : IEEE Transactions on Signal Processing. 66, 18, p. 4737-4752 16 p., 8421667.

Research output: Contribution to journalArticle

Classifiers
Electric fuses
Factorization
Learning algorithms
Pattern recognition
1 Citation (Scopus)

Blind multi-class ensemble learning with dependent classifiers

Traganitis, P. A. & Giannakis, G. B., Nov 29 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. European Signal Processing Conference, EUSIPCO, p. 2025-2029 5 p. 8553113. (European Signal Processing Conference; vol. 2018-September).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Electric fuses
Learning algorithms
Pattern recognition
Learning systems
2 Citations (Scopus)

Blind radio tomography

Romero, D., Lee, D. & Giannakis, G. B., Apr 15 2018, In : IEEE Transactions on Signal Processing. 66, 8, p. 2055-2069 15 p.

Research output: Contribution to journalArticle

Tomography
Calibration
Imaging techniques
Radio interference
Intrusion detection
5 Citations (Scopus)

Canonical correlation analysis of datasets with a common source graph

Chen, J., Wang, G., Shen, Y. & Giannakis, G. B., Aug 15 2018, In : IEEE Transactions on Signal Processing. 66, 16, p. 4398-4405 8 p., 8408767.

Research output: Contribution to journalArticle

Image classification
Data fusion
Feature extraction
Geometry
1 Citation (Scopus)

Canonical Correlation Analysis with Common Graph Priors

Chen, J., Wang, G., Shen, Y. & Giannakis, G. B., Aug 29 2018, 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. Institute of Electrical and Electronics Engineers Inc., p. 463-467 5 p. 8450749. (2018 IEEE Statistical Signal Processing Workshop, SSP 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blind source separation
Image classification
Data fusion
Geometry
fusion

Compressive Phase Retrieval via Reweighted Amplitude Flow

Zhang, L., Wang, G., Giannakis, G. B. & Chen, J., Oct 1 2018, In : IEEE Transactions on Signal Processing. 66, 19, p. 5029-5040 12 p., 8424911.

Research output: Contribution to journalArticle

Recovery
Experiments

Data-Adaptive Active Sampling for Efficient Graph-Cognizant Classification

Berberidis, D. & Giannakis, G. B., Oct 1 2018, In : IEEE Transactions on Signal Processing. 66, 19, p. 5167-5179 13 p., 8445612.

Research output: Contribution to journalArticle

Sampling
Labels
Classifiers
5 Citations (Scopus)

Decentralized RLS with data-adaptive censoring for regressions over large-scale networks

Wang, Z., Yu, Z., Ling, Q., Berberidis, D. & Giannakis, G. B., Mar 15 2018, In : IEEE Transactions on Signal Processing. 66, 6, p. 1634-1648 15 p., 8264782.

Research output: Contribution to journalArticle

Innovation
Communication
Costs
Data reduction
Experiments

Directed network topology inference via sparse joint diagonalization

Shen, Y., Fu, X., Giannakis, G. B. & Sidiropoulos, N. D., Apr 10 2018, Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017. Matthews, M. B. (ed.). Institute of Electrical and Electronics Engineers Inc., Vol. 2017-October. p. 698-702 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Directed Network
Diagonalization
Prior Information
inference
Network Topology
2 Citations (Scopus)

Distributed online optimization of fog computing for selfish devices with out-of-date information

Lyu, X., Ni, W., Tian, H., Liu, R. P., Wang, X., Giannakis, G. B. & Paulraj, A., Nov 1 2018, In : IEEE Transactions on Wireless Communications. 17, 11, p. 7704-7717 14 p., 8467524.

Research output: Contribution to journalArticle

Online Optimization
Distributed Optimization
Fog
Date
Computing

Distributed sketched subspace clustering for large-scale datasets

Traganitis, P. A. & Giannakis, G. B., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017; vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Subspace Clustering
Clustering algorithms
projection
Random Projection
Unsupervised Classification
1 Citation (Scopus)

Distributed Stochastic Optimization of Network Function Virtualization

Chen, X., Ni, W., Chen, T., Collings, I. B., Wang, X., Liu, R. P. & Giannakis, G. B., Jan 10 2018, 2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p. (2017 IEEE Global Communications Conference, GLOBECOM 2017 - Proceedings; vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Costs
Network routing
Gradient methods
Hardware
Network function virtualization
4 Citations (Scopus)

Dpca: Dimensionality Reduction for Discriminative Analytics of Multiple Large-Scale Datasets

Wang, G., Chen, J. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2211-2215 5 p. 8461744. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Principal component analysis
Singular value decomposition
2 Citations (Scopus)
265 Downloads (Pure)

Fast Decentralized Learning Via Hybrid Consensus Admm

Ma, M., Nikolakopoulos, A. N. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-April. p. 3829-3833 5 p. 8462038. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

File
Fusion reactions
Telecommunication networks
Topology
Communication

Fully Automatic Segmentation of the Right Ventricle Via Multi-Task Deep Neural Networks

Zhang, L., Karanikolas, G. V., Akcakaya, M. & Giannakis, G. B., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6677-6681 5 p. 8461556. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pathology
Magnetic resonance
Network architecture
Deep neural networks
5 Citations (Scopus)

Going beyond linear dependencies to unveil connectivity of meshed grids

Zhang, L., Wang, G. & Giannakis, G. B., Mar 9 2018, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p. (2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017; vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Partial Correlation
Connectivity
norms
Kernel Regression
grids